Data Scientist

2 weeks ago

Dallas, United States Snipebridge Full time
Job DescriptionJob Description

LOCATION - Must be located in/near Dallas-Fort Worth/Lewisville, TX area


CLIENT

Our client is a digital transformation company that helps businesses achieve non-linear growth by delivering exceptionally engineered experiences for customers and employees. The company combines human-centered design with the scale and accuracy of real-time analytics, AI, cognitive technology and automation.


POSITION SUMMARY

The client is seeking a Data Scientist with expertise in building machine learning models by mining datasets from various data sources. This role will be remote-based until post-pandemic. Thereafter, the selected candidate must be able to work out the Lewisville, TX office. Must have strong experience in Power BI, Predictive Modeling using R AND Python along with strong SQL capabilities. Ideally, the candidate should have a background in supporting data analytics for a bank.


ROLES & RESPONSIBILITIES

  • Develop a machine learning model to solve the business problem.
  • Impact the bottom line: Analyze data to see beyond the numbers to drive sound decision-making.
  • Automate reports and dashboards, business operations, data science and analytics, MIS; automate processes via macro-enabled excels, and consolidate sheets.
  • Build suitable statistical data model required for business by mining datasets
  • Work with Remote Monitoring team to get feedback for building data model
  • Processing, cleansing, and verifying the integrity of data used for analysis


REQUIRED SKILLS & ABILITIES

  • Technical Skillsets - Efficient in Power BI, Programming: R, Python, SQL; Database: SQL
  • Take the lead: Think critically, identify opportunities for improvement, and then work with global SMEs to integrate efficiencies into daily activities.
  • MUST have some experience in a client-facing role & some banking background too
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
  • Minimum 6+ years in Data Analytics, ideally in the banking industry
  • Having cloud experience is a plus

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